What are the responsibilities and job description for the AI Front End Engineer position at Prodapt?
Overview
Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. A ServiceNow-invested company, Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider.
A “Great Place To Work® Certified™” company, Prodapt employs over 5,000 technology and domain experts across the Americas, Europe, India, Africa, & Japan. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80 locations globally.
We are seeking an experienced AI Full Stack Engineer with React expertise and Databricks/Azure experience. This individual will build modern custom web applications, dashboards, AI-enabled tools, and operational interfaces that leverage DataSphere and Databricks data assets.
Responsibilities
Migrate current Palantir Workshops into modern React applications
Migrate Databricks ETL to new serverless Databricks
Develop responsive and accessible user experiences
Resolve Azure networking, proxy, firewall, and authentication issues in Databricks and web applications
Integrate with REST APIs and backend services
Collaborate with business stakeholders on UI/UX requirements
Develop and deploy APIs in Azure
Build applications that consume Databricks, Snowflake, and Azure data sources
Support migration of existing data workflows where required
Optimize data retrieval and application performance
Develop automation and operational tooling
Build AI-enabled applications using Databricks AI capabilities
Develop monitoring and health check dashboards
Support chatbot and agentic AI initiatives
Build administrative portals for DataSphere applications
Assist with Databricks Serverless migration efforts
Enhance health check reporting and operational visibility
Develop front-end interfaces for health check management and monitoring
Support Azure-based application deployments
Requirements
Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. A ServiceNow-invested company, Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider.
A “Great Place To Work® Certified™” company, Prodapt employs over 5,000 technology and domain experts across the Americas, Europe, India, Africa, & Japan. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80 locations globally.
We are seeking an experienced AI Full Stack Engineer with React expertise and Databricks/Azure experience. This individual will build modern custom web applications, dashboards, AI-enabled tools, and operational interfaces that leverage DataSphere and Databricks data assets.
Responsibilities
Migrate current Palantir Workshops into modern React applications
Migrate Databricks ETL to new serverless Databricks
Develop responsive and accessible user experiences
Resolve Azure networking, proxy, firewall, and authentication issues in Databricks and web applications
Integrate with REST APIs and backend services
Collaborate with business stakeholders on UI/UX requirements
Develop and deploy APIs in Azure
Build applications that consume Databricks, Snowflake, and Azure data sources
Support migration of existing data workflows where required
Optimize data retrieval and application performance
Develop automation and operational tooling
Build AI-enabled applications using Databricks AI capabilities
Develop monitoring and health check dashboards
Support chatbot and agentic AI initiatives
Build administrative portals for DataSphere applications
Assist with Databricks Serverless migration efforts
Enhance health check reporting and operational visibility
Develop front-end interfaces for health check management and monitoring
Support Azure-based application deployments
Requirements
- Bachelor’s degree, or foreign equivalent, in Computer Science, Engineering, or a closely related field, plus five (5) years of experience in the job offered or a related occupation.
- 5 years of overall experience in Full Stack Engineering with React and Databricks/Azure expertise
- Experience with the following Programming Languages: JavaScript (ES6 or higher), Angular and TypeScript. (5 years);
- Experience with the following Databases & Data Stores: Oracle Database (version 12c or higher), PostgreSQL, MongoDB (version 4.4 or higher), Cassandra, Redis (version 6 or higher), Elasticsearch (version 6 or higher), and Neo4j. (3 years);
- Experience with the following Backend Frameworks & ORM: Spring Boot (version 2 or higher), Node.js (version 18 or higher), Express.js (version 4 or higher), and FastAPI. (5 years);
- Experience with Frontend Development utilizing React (version 16 or higher), D3.js, Redux, React Hooks, React Router, Webpack, Vite, Tailwind CSS, HTML5, and CSS3. (5 years);
- Experience with API Development & Protocols: RESTful APIs, GraphQL, gRPC, OpenAPI/Swagger, WebSocket, Server-Sent Events (SSE), Protocol Buffers, JSON Web Tokens (JWT), OAuth 2.0, and SAML 2.0. (3 years);
- Experience with Event-Driven & Distributed Messaging Systems: Apache Kafka, RabbitMQ.
- Experience with the following Cloud, Containers & Infrastructure: Docker (version 20 or higher), Google Cloud Platform (GCP), Kubernetes (GKE), and Cloud Run. (2 years);
- Experience with Testing & CI/CD: Jest (version 29 or higher), Mocha, Supertest, Cypress, Playwright, Istanbul/NYC, Jenkins (version 2 or higher), GitHub Actions, Harness, and SonarQube. (2 years);
- Experience with Monitoring & Observability utilizing Datadog, Prometheus, Grafana, and Kibana. (2 years);
- Experience with AI/ML & LLM Applications: LangChain, LangGraph, LangSmith, Milvus, Pinecone, Model Context Protocol (MCP), RAG (Retrieval-Augmented Generation), n8n, numpy, and pandas. (1 year).